Senior Lead AI Research Scientist - Foundation Models, Agentic AI

Lead end-to-end research projects in Agentic AI / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation. Contribute and lead building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data—both structured and unstructured—that enhance Wells Fargo's products, services, and operations. Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade-offs. Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges. Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts. Translate research insights into impactful business solutions, open-source contributions, patents, and publications. Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community. Requirements 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science ATS Optimization Keywords Hard Skills Agentic AI Generative AI Machine Learning foundation models large language models (LLMs) data analysis quantitative analytics deployment trade-offs research methodology evaluation techniques Soft Skills leadership collaboration communication problem-solving interdisciplinary teamwork innovation critical thinking adaptability translating insights impactful solution development #J-18808-Ljbffr Jobtailor